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echosonic

At echosonic, we are revolutionizing microphone by bringing Machine Learning capabilities into it to reduce our dependency to cloud and centralized infrastructures for audio processing and recognition. Yes, only that.

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Applications

Predictive maintenance
Predictive maintenance

Sounds in industry

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Biometric
Biometric

Age check potential

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Wildlife protection
Wildlife protection

Sounds recognition

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Predictive maintenance
Predictive maintenance

Sounds in industry

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Our Story

We are a group of young and energetic physicists, computer scientists, mechanical engineers, and data scientists aiming to disrupt the edge AI market. With robust and continuous university collaborations and public-private cooperation, we are bringing the cutting-edge research of deep technology to human-centric machine learning and building a public forum for disseminating computational technologies.

Our Technology

Backed by the university research, echosonic exploits the sensing mechanisms of microphones filtering out the important part of audio signals for learning-based processing. Without the need of analog to digital conversion and preprocessing of signals, the audio processing pipeline could be deployed to edge sensors including both processing and software upgrading, eliminating privacy and security concern, and draws only 10% of power consumption compared to the legacy devices. Our pursue of smarter edge AI does not stop at processing sound signals, the echosonic technology is capable of processing different signals and enables sensors connected to build physical neural network with on-the-fly reconfiguration of sensor physics and readout mechanisms.

Low power consumption

Exceptional processing speed

Benefits

Reduce >90% power consumption of intelligent audio processing compared to legacy devices

Privacy and security

Eliminates privacy and security concerns by processing audio signals internally on microphones

Exceptional processing speed by reducing latency in cloud-microphone data transferring

Press kit

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